What is he best known for?
The fields of study he is best known for:
- Operating system
- Computer network
- The Internet
Wireless sensor network, Distributed computing, Computer network, Real-time computing and Key distribution in wireless sensor networks are his primary areas of study.
His Wireless sensor network study integrates concerns from other disciplines, such as Wireless, Overhead, Energy consumption, Embedded system and Node.
His studies deal with areas such as Quality of service, Software system, Scheduling, Dynamic priority scheduling and Middleware as well as Distributed computing.
His Computer network research is multidisciplinary, relying on both Web server and Scalability.
The concepts of his Real-time computing study are interwoven with issues in Sensor node, Field, Statistical classification and Resilience.
His Key distribution in wireless sensor networks research is multidisciplinary, incorporating perspectives in Wireless ad hoc network, Computation, Protocol and Network topology.
His most cited work include:
- Range-free localization schemes for large scale sensor networks (2400 citations)
- SPEED: a stateless protocol for real-time communication in sensor networks (1142 citations)
- Energy-efficient surveillance system using wireless sensor networks (650 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Wireless sensor network, Distributed computing, Computer network, Real-time computing and Data mining.
His Wireless sensor network research includes elements of Energy consumption, Key distribution in wireless sensor networks, Mobile wireless sensor network, Embedded system and Node.
In his study, which falls under the umbrella issue of Distributed computing, Parallel computing and Admission control is strongly linked to Scheduling.
In his research on the topic of Computer network, File server and Web service is strongly related with Web server.
Real-time computing is closely attributed to Efficient energy use in his work.
His research on Data mining also deals with topics like
- Social network which connect with Social media,
- Artificial intelligence and related Mobile computing.
He most often published in these fields:
- Wireless sensor network (26.28%)
- Distributed computing (24.82%)
- Computer network (20.07%)
What were the highlights of his more recent work (between 2016-2021)?
- Artificial intelligence (11.31%)
- Deep learning (4.56%)
- Artificial neural network (3.83%)
In recent papers he was focusing on the following fields of study:
Tarek Abdelzaher mainly focuses on Artificial intelligence, Deep learning, Artificial neural network, Machine learning and Social media.
His Artificial intelligence research also works with subjects such as
- Key which intersects with area such as Information retrieval,
- Overhead together with Edge device.
His Deep learning study combines topics in areas such as Recurrent neural network, Energy consumption, Activity recognition, Edge computing and Mobile computing.
His work carried out in the field of Artificial neural network brings together such families of science as Distributed computing, Computer engineering, Inference, Mobile device and Process.
His studies in Distributed computing integrate themes in fields like Bottleneck, Scheduling, Job shop scheduling and Software.
His research in Data science intersects with topics in Event, Wireless sensor network and Server.
Between 2016 and 2021, his most popular works were:
- DeepSense: A Unified Deep Learning Framework for Time-Series Mobile Sensing Data Processing (272 citations)
- CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases (153 citations)
- The Age of Social Sensing (80 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Computer network
- Artificial intelligence
His main research concerns Artificial intelligence, Deep learning, Artificial neural network, Machine learning and Key.
Tarek Abdelzaher has researched Artificial intelligence in several fields, including Factorization and Control theory.
Tarek Abdelzaher has included themes like Computer engineering, Energy consumption, Signal processing, Edge computing and Process in his Artificial neural network study.
His study explores the link between Key and topics such as Quality that cross with problems in Decision model, Communications protocol and PID controller.
His work blends Everyday life and Distributed computing studies together.
His Distributed computing research integrates issues from Data modeling, Wireless sensor network and Information needs.
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